Automatic prediction of falls via heart rate variability and data mining in hypertensive patients: The SHARE project experience

IFMBE Proceedings

Volumn 45, Issue , 2015, Pages 42-45

  Melillo, Paolo ^a,b   Jovic, Alan ^c   De Luca, Nicola ^d   Morgan, Stephen P ^e   Pecchia, Leandro ^b,f  

^a SECOND UNIVERSITY OF NAPLES   (Italy)

^b Scientific Research and University   (Italy)

^c UNIVERSITY OF ZAGREB   (Croatia)

^d UNIVERSITY OF NAPLES FEDERICO II   (Italy)

^e UNIVERSITY OF NOTTINGHAM   (United Kingdom)

^f UNIVERSITY OF WARWICK   (United Kingdom)

Author keywords

Accidental falls; Data mining; Fall risk factors; Falls prediction; Heart rate variability (HRV)

Indexed keywords

BIOCHEMICAL ENGINEERING; HEART; RISK ASSESSMENT;

ACCIDENTAL FALLS; AUTOMATIC PREDICTION; DATA MINING METHODS; ECG RECORDING; FALL RISK; HEART RATE VARIABILITY; HYPERTENSIVE PATIENTS; PROJECT EXPERIENCES;

DATA MINING;

EID: 84937774616     PISSN: 16800737     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-319-11128-5_11     Document Type: Conference Paper

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